• This paper introduces a continuous wavelet transformation for detecting the disturbed partial discharge pulses in HV transformer.

    采用了子波函数对含强载波干扰的局部放电信号进行连续子波变换。

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  • This article proposes to utilize the dual-tree complex wavelet transformation to the core image denoising, and good effect is obtained.

    岩心图像的去噪是后续的目标检测与定量分析的关键。

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  • The model combines good time domain, frequency domain resolving ability of wavelet transformation and nonlinear learning ability of SVM.

    该模型具有小波变换的良好时、频域分辨能力和支持向量机的非线性学习能力;

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  • The results show that the spectra treated with wavelet transformation indicate the relationship with oil content in instant noodles more effectively.

    结果表明,变换后的光谱更能反映出与含油率之间的相关关系。

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  • This paper proposes an efficient VLSI method for realizing Discrete Wavelet Transformation for lossless compression in the upcoming JPEG2000standard.

    文章提出了一种基于JPEG2000标准中无损压缩滤波器组的VLSI实现方法。

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  • An introduction of a novel wavelet transformation method based on fast lifting algorithm and steps of accomplishment is described in some more detail.

    介绍了快速提升小波变换的原理和实现步骤,提出了一种基于提升算法的快速小波变换确定电位滴定终点新方法。

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  • This paper evaluated median filter in company with wavelet transformation to process X-ray image that contained Gauss noise and impulse noise at the same time.

    利用中值滤波和基于小波变换的去噪声处理对同时含有高斯噪声和脉冲噪声的X线图像降噪方法进行探讨。

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  • The results prove that we can get a very effective outcome by the method of wavelet transformation if the adaptive wavelet base and threshold value are chosen.

    试验结果表明,在选择了适当的小波基函数和阈值的情况下,采用小波变换的消噪方法对舰船辐射噪声信号进行消噪处理,可以取得良好的效果。

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  • Calculates the setting range of each parameter in theory, and proves the method of wavelet transformation has higher frequency resolution than the method of FFT.

    从理论上计算各个参数的设置范围,并且证明小波变换方法比FFT方法有较高的频率分辨率。

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  • The result shows that the wavelet transformation would be used to constrain the static shift in MT, which is effective and potential method of static correction.

    实测资料的处理结果表明,利用小波变换可以进行压制MT中的静态偏移,是一种有效的、潜在的静校正方法。

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  • To identify the echoes of low signal to noise ratio, we can apply the algorithm by using scale coefficients of wavelet transformation in place of the basic signal.

    对于低信噪比的回波可以采用其小波变换后的尺度系数代替原信号使用本算法来识别。

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  • In this paper, the signal quality is improved via denoising in wavelet transformation domain, as a result the measuring error of stabilization precision is reduced.

    本文利用小波变换对火炮误差角信号进行处理,改善了误差角信号的质量,有效减小了稳定精度的测量误差。

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  • In this paper, the theory of wavelet transformation in signal noise reduction is introduced, together with the algorithm of signal decomposition and reconstruction.

    介绍采用小波变换进行信号降噪的原理;利用小波分解和重构函数对轧机主传动轴应力和扭矩信号进行降噪处理。

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  • A method of calculating wavelet transformation filter coefficients for multiscale edge detection is given in this paper, and the efficiency of the method is clarified.

    提出了一种用于多尺度边缘检测的小波变换滤波器系数的计算方法,并且以具体例子进行了检验,表明了该方法的有效性。

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  • In the orthogonal wavelet transformation coding, it is to make use of wavelet frequency splitting that may deal with data, and then get the better result of compression.

    利用正交小波变换进行小波分频特性分析处理,得到了较好的压缩结果。

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  • If the movement is drastic, adopt the wavelet transformation first, then use this method to search block match, which can reduce a great deal of complicated calculating.

    在运动非常激烈时,则首先采用小波变换,然后再用本方法进行块匹配搜索,可减少大量复杂的运算量。

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  • Based on the work of predecessors, the paper has studied on the system of pathological voice recognition based on the wavelet transformation and Gaussian mixes model (GMM).

    本文在前人工作的基础上,研究了基于小波变换和高斯混合模型(GMM)的病态嗓音识别系统。

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  • Time frequency analysis method is used to analyze the time domain and frequency domain of seismic waves at the same time according to the principle of wavelet transformation.

    时频分析方法是利用小波变换原理,从地震波的时间域和频率域同时对其作出分析。

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  • Finally, based on the work of above, proposed a method of description and extraction image color and texture features in the dual tree complex wavelet transformation domain.

    最后,在上面工作的基础上,提出了基于对偶数复小波域的图像的颜色和纹理特征的描述和提取方法。

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  • Fischer prefers to use a less common mathematical process known as the wavelet transformation, which represents the sound in terms of short, discrete components known as wavelets.

    菲舍尔更喜欢一种比较不常用的数学方法——小波变换,这种方法可以将声音分解成比较短的离散的小波成分。

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  • From the basic conception of wavelet transformation, we discuss briefly the zooming characteristics of wavelet transformation in time-frequency domain analysis in this paper.

    从小波变换的基本概念出发,简要介绍了小波变换在信号时-频分析中的变焦特性。

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  • It introduces the method of wavelet transformation applied in the acoustic wave signal processing and how to use this method to implement the function of filtering the waves.

    讨论了在声波信号处理中所使用的小波变换方法,以及用这种方法所实现的滤波功能。

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  • Base on that, the application of wavelet transformation in fault diagnosis to analyse nonstationarity of roller bearing vibration signals with Daubieches wavelet is introduced.

    针对轴承振动的非平稳性特点和频谱成分的混杂性,提出了基于小波的信号自适应阈值降噪法。

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  • According to the theory of testing abrupt signals with wavelet transformation, the abrupt signals of current and voltage can be quickly detected when power system faults occur.

    利用小波变换检测突变信号的原理,可以在电力系统故障发生的瞬间快速检测出电流或电压突变信号。

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  • By applying orthogonal linearity of wavelet transformation, a self adapting filter is designed on the basis of wavelet algorithm and is effectively applied to power active filter.

    利用小波变换的正交线性性质,设计基于小波算法自适应滤波器。

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  • The result shows:the template correlation based on wavelet transformation can realize the automatic registration of the same kind sensing image, with fast speed and high precision.

    实验表明:基于小波变换的模板相关匹配方案实现了同类传感器遥感图像的自动配准,配准速度快且精度高。

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  • Wavelet transformation possesses excellent properties of time-frequency localization and thus provides an effective means for analyzing signals characterized by unstable vibration.

    小波变换具有很好的时域和频域局部化特性,它对以非稳态振动为特征的信号提供了很好的分析手段。

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  • The performance of wavelet transformation is better than DCT transformation in static 2d picture, so wavelet transformation is adopt in JPEG2000 and MPEG-4 international standards.

    静态图像的小波变换方法性能优于DCT变换方法,因而被最新的JPEG2000和MPEG - 4国际标准所采纳。

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  • It proves that it is feasible to apply the wavelet transformation to the detection of non-integer harmonics, thus, an effective means is provided for accurate detection of harmonics.

    这表明了小波变换对于非整次谐波的检测和分析是可行的,从而为谐波的精确检测提供了有效的手段。

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  • It proves that it is feasible to apply the wavelet transformation to the detection of non-integer harmonics, thus, an effective means is provided for accurate detection of harmonics.

    这表明了小波变换对于非整次谐波的检测和分析是可行的,从而为谐波的精确检测提供了有效的手段。

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